Automation Technology and Human Performance: Current Research and Trends

By Mark W. Scerbo | Go to book overview
Figure 3. Mean heading error across early, intermediate and late phases of manual driving in automated and manual driving conditions.

problems associated with automated systems in driving. Both studies showed that following a failure in automation, drivers are slower to recover from system failure than drivers who are manually engaged in driving. The findings have important implications for automated highway systems (AHS). The studies suggest that AHS should attempt to keep the driver within the driving loop in order to guard against performance impairments. The research reinforces Hancock et al.'s ( 1996) view that human centered design approaches are superior to full automation of a task.


REFERENCES

Desmond P. A., Hancock P. A. & Matthews G. ( 1997). Development and validation of the driving fatigue scale. In C. Mercier-Guyon (Ed.), Proceedings of the 14th International Conference on Alcohol, Drugs and Traffic Safety.

Endsley M. R. ( 1988). "Design and evaluation for situation awareness enhancement". Proceedings of the Human Factors Society 32nd Annual Meeting.

Endsley M. R. & Kiris E. O. ( 1995). "The out-of-the-loop performance problem and level of control in automation". Human Factors, 37( 2), 381-394.

Hancock P. A., R. Parasuraman., & E. A. Byme. ( 1996). Driver-centered issues in advanced automation for motor vehicles. In R. Parasuraman & M. Mouloua (Eds.), Automation and human performance: theory and applications (pp 337-364). Mahwah, NJ: Lawrence Erlbaum Associates.

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